论文部分内容阅读
目的 了解 1998年洪水后对鄱阳湖区洲滩钉螺分布的影响及其现状。方法 收集陆地卫星 TM遥感资料和 1999- 2 0 0 0年间鄱阳湖区洲滩钉螺孳生分布情况 ,遥感资料在 ERDAS im aging8.3软件上分析 ,建模分析并分别提取出植被指数和水域分布区域 ,并进行校正叠加 ,提取出钉螺的可疑孳生地。随机抽取卫星遥感资料分析所示的钉螺可疑孳生环境 ,分别与地面调查结果进行核对验证。结果 遥感资料分析结果预测钉螺可疑孳生地范围与近两年春季查出的有螺面积和分布范围基本相符 ,总符合率为 76 .92 % (30 / 39) ,其中大型环境的符合率 92 .31% (12 / 13) ,中型环境符合率 85 .71% (12 / 14 ) ,小型环境符合率 5 0 .0 0 % (6 / 12 ) ;但遥感资料分析结果也显示堤内有钉螺可疑孳生地。结论 应用地理信息系统和遥感技术预测钉螺孳生地对及时掌握血吸虫病流行范围和易感地带有重要意义。
Objective To understand the influence of the 1998 flood on the snail distribution and its status quo in Poyang Lake area. Methods The remote sensing data of Landsat TM and the distribution of Oncomelania hupensis in Poyang Lake area from 1999 to 2000 were collected. The remote sensing data were analyzed and modeled by ERDAS im aging8.3 software and the vegetation index and water area were extracted respectively. And the correction stack, extracted from the snail suspicious breeding place. Randomly selected satellite remote sensing data analysis shows the snail suspicious breeding environment, respectively, with the ground survey results for verification. Results The results of remote sensing data analysis showed that the range of suspicious breeding sites of Oncomelania snail was basically consistent with the snail area and distribution range found in spring in recent two years. The total coincidence rate was 76.92% (30/39), of which the compliance rate of large-scale environment was 92. 31% (12/13), medium-sized environment compliance rate of 85.71% (12/14) and small-scale environment compliance rate of 50.0% (6/12). However, remote sensing data analysis also showed suspicious breeding of Oncomelania Ground Conclusion Prediction of snail habitat using GIS and remote sensing technology is of great importance to grasp the epidemic range and susceptibility of schistosomiasis in time.